New AI uncovers hidden patterns in biomedical knowledge graphs

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
IEEE

S2G-GCN: A Plot Classification Network Integrating Spectrum-to-Graph Modeling and Graph Convolutional Network for Compact HFSWR

Abstract: Plot classification refers to the identification of true target plots among initial detections, and it is crucial for target tracking with compact high-frequency surface wave radar (HFSWR) ...
Scientific Research Publishing

Cordella, L.P., Foggia, P., Sansone, C. and Vento, M. (2004) A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs. IEEE Transactions on Pattern Analysis and Machine ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...
Scientific Research Publishing

UML Class Diagram Classification Using Category Theory ()

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
Frontiers

Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph

1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Faculty of Life Science and Technology, Kunming University of Science and Technology ...
Frontiers

Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations

Introduction: Mild cognitive impairment (MCI), often linked to early neurodegeneration, is associated with subtle disruptions in brain connectivity. In this paper, the applicability of persistent ...